Elga's age = x
Alvin's age = x + 7
x + x + 7 = 97.
Simplify the left side of the equation
2x + 7 = 97.
Subtract 7 from each side
2x = 90.
Divide each side by 2
x = 45
Since x is equal to Elga's age, Elga is 45 years old
Answer:
x+x+1+x+2+x+3=190
4x+6=190
4x=184
x=46
Step-by-step explanation:
the numbers are 46&47&48&48
so your answer is 48
Answer:
5 is the answer
Step-by-step explanation:
Answer:
0.98046
Step-by-step explanation:
Given:
Here we are required to find
P(5.48 <X<5.82) and between 5.48 and 5.82 we each z-score given by
<em>z = (x - μ) / σ</em>
So 5.48 we have z = -2.714 and 5.82 we have z = 2.143
Therefore we have the area of interest on the normal distribution chart given by
:
P( -2,714 < z < 2.143)
= 1 - P(Z<-2.714) + P(Z > 2.143)
= 1 - P(Z<-2.714) + (1 - P(Z < 2.143))
= 1 - 0.00336 + 1 - 0.98382
= 1 - 0.01954 = 0.98046
Answer:
Yes, the given analysis involves a statistical test. Population parameter of interest = '% of community people living in mobile homes' (MH)
- H0 : MH = 0.09
- H1 : MH > 0.09
Step-by-step explanation:
Hypothesis testing is a statistical test, of testing an assumption (statement) about population parameter.
Null Hypothesis [H0] is a neutral statement of 'no difference' about a population parameter; stating variable is no different than its mean.
Alternate hypothesis [H1] is the 'specific difference' stating hypothesis about a population parameter; contrary to the null hypothesis.
To determine if there is evidence for the claim that the percentage of people in the community living in a mobile home is greater than 9% :
This analysis can be done by using statistical test : one sided 't' test. The population parameter of interest would be '% of community people living in mobile homes' (MH)
- H0 : MH = 9% → MH = 0.09
- H1 : MH > 9% → MH > 0.09
